Artificial Intelligence

HHS Office for Civil Rights Director Melanie Rainer describes how her office is helping providers understand and meet their security and compliance requirements.

The technology has already been implemented in KK Women’s and Children’s Hospital.

Longtime healthcare IT researcher Julia Adler-Milstein is planning major initiatives around digital health equity, artificial intelligence and diagnostic innovation

Despite a wide array of use cases for the LLM – in medical education, clinical practice and beyond – there are some big drawbacks to be aware of, says R. Ryan Sadeghian, CMIO of Hunterdon Healthcare System.

The company says the deep learning-enhanced technology can acquire MRI images up to 12 times faster than conventional methods, matching the speed of MRI to the speed of physiology.

The large language model is still in testing, but the AI tool had a median accuracy score of 77.8% compared to a physician score of 62.8%. The code base is now available to all healthcare organizations.

Dr. Calum Yacoubian, director of healthcare strategy at IQVIA, talks about how natural language processing can help Medicare Advantage organizations avoid penalties by ensuring that their coding is accurate and compliant.

Training machine learning on the data amassed by the Illinois Department of Public Health could help the department better understand who might be at greatest risk of a variety of conditions, says IDPH Director Dr. Sameer Vohra.

The health system is prioritizing "patient safety, privacy and ethical considerations" as it pushes forward to realize positive impacts from artificial intelligence and machine learning, says CIO Cris Ross.